Job Description
Senior AI Fullstack Engineer
Duration: 12 months
Location: South San Francisco
Description
Job Title: Senior AI Fullstack Engineer
The Position
We advance science so that we all have more time with the people we love.
Clients’ Early Clinical Development (ECD) department is seeking a talented and
motivated Software Developer reporting to the Director of software engineering at The
Clinical Data Insights & Automation team (CDI&A). The CDI&A team collaborates with a
broad range of stakeholders involved in the clinical development process (e.g., Clinical
Science, Clinical Operations, Medical Writing, Quality, Regulatory). It develops industry-
leading solutions for highly complex business problems. To manage the design and
pilot of these software products, they apply a high degree of ingenuity and creativity
while maintaining a finger on the pulses of the rapidly changing tech and healthcare
landscapes. The Software Engineer will primarily be responsible for designing,
developing, and deploying software which interacts with cutting-edge generative AI
models and applications in collaboration with AI scientists, full stack developers, and
others. Their work will directly impact our ability to create and deliver innovative
solutions that leverage AI to solve complex problems and enhance user experiences.
The Opportunity:
● Innovate and develop software applications to support clinical development
● Identify and integrate AI/LLM capabilities to enhance data processing and
natural workflows.
● Design intuitive, user-centric interfaces.
● Code Quality and Documentation: Write clean, maintainable, and well-
documented code. Participate in code reviews and contribute to best practices in
software development.
● Research and Innovation: Stay up-to-date with the latest advancements in
generative AI and machine learning. Evaluate new technologies and
methodologies to continuously improve our solutions.
● Collaborate with Cross-Functional Teams: Work closely with data scientists,
engineers, and product managers to integrate generative AI capabilities into our
products and services.
● Deployment and Monitoring: Develop and maintain robust deployment pipelines
for AI-enhanced applications. Monitor pipeline performance in production and
implement necessary improvements.
Who You Are:
● An experienced full stack developer capable of bringing your expertise to our
existing and upcoming AI applications/projects as both a leader and individual
contributor.
● Someone with a clear understanding of the current landscape of AI & AI-based
applications, including potential benefits, limitations, and standard of practice.
Minimum Requirements:
● Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or
a related field.
● 5+ years of full stack development experience
● Strong proficiency in either a front-end framework (Vue.js, React, or similar) and
a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask,
Next.js, or similar)
● 4+ years experience with front-end frameworks (preferably Vue.js)
● 2+ years of developing and deploying AI/ML solutions or applications
● Experience designing and developing RESTful APIs (with e.g. Python FastAPI).
● Familiarity with prompt engineering
● Proficiency with containerized workflows and architectures (Podman, Docker,
Kubernetes)
● Strong automated software testing skills (Python unittest, jest, Playwright)
● Familiar with Agile methodologies
● Excellent analytical and problem-solving skills with a track record of tackling
complex technical challenges.
● Leading system design and implementing scalable, fault-tolerant solutions for
complex, distributed computing challenges.
● Strong interpersonal and communication skills, with the ability to articulate
complex technical concepts to non-technical stakeholders.
● Experience with cloud platforms (e.g. AWS) and modern data platforms (e.g.,
Snowflake).
● Experience implementing chatbots, retrieval-augmented generation (RAG)
systems, and integrating LLMs into applications (AI-assisted automation)
Preferred Qualifications:
● Experience building AI agents, fine-tuning LLM models, and evaluating bias and
fairness with LLM systems
● Experience in developing Microsoft Word add-ins using Office.js.
● Experience with web technologies like JWT, WebSockets, etc.
● Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar.
● Familiarity with DevOps, infrastructure, and continuous integration concepts.
● Familiarity with CRDT technologies like Yjs.
● Experience with using NLP/LLMs on clinical text.
● Basic knowledge of clinical drug development
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